Hybrid active and passive strategies for chance-constrained bilevel scheduling of community multi-energy system considering demand-side management and consumer psychology
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DOI: 10.1016/j.apenergy.2023.121646
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- Jiang, Meihui & Xu, Zhenjiang & Zhu, Hongyu & Hwang Goh, Hui & Agustiono Kurniawan, Tonni & Liu, Tianhao & Zhang, Dongdong, 2024. "Integrated demand response modeling and optimization technologies supporting energy internet," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
- Li, Li & Fan, Shuai & Xiao, Jucheng & Zhou, Huan & Shen, Yu & He, Guangyu, 2024. "Fair trading strategy in multi-energy systems considering design optimization and demand response based on consumer psychology," Energy, Elsevier, vol. 306(C).
- Han, Fengwu & Zhao, Yunlong & Zeng, Jianfeng & Zhang, Shengnan & Wu, Tianyu, 2024. "Uncertain parameters adjustable two-stage robust optimization of a rural housing integrated energy system considering biomass on-site utilization," Energy, Elsevier, vol. 296(C).
- Yong Cui & Jian Zheng & Wenying Wu & Kun Xu & Desen Ji & Tian Di, 2024. "Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response," Energies, MDPI, vol. 17(23), pages 1-20, December.
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Keywords
Community multi-energy system; Demand side management; Chance-constrained programming; Electric vehicle; Operation optimization; Consumer psychology;All these keywords.
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